Senior Data Engineer

Shape the Future of AI & Data with Us

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

Your Mission

Data Engineers at Datatonic work across a wide range of projects, helping clients unlock the full potential of the Modern Data Stack. You’ll bring expertise in our technologies of choice - dbt, Looker, Snowflake, BigQuery, Google Cloud, Sigma, Fivetran, Python, Spark, Pub/Sub - and apply them to solve real client challenges.

In this role, you’ll collaborate closely with a Delivery Manager, support project teams, and make hands-on contributions to the codebase where needed. Our Data Engineers combine strong technical skills with a client-focused mindset, ensuring that data solutions are not only well-engineered but also deliver measurable impact.

Job Description

We’re looking for a Data Engineer to join our team - someone who’s comfortable working with data pipelines, enjoys solving technical problems, and wants to grow in a modern data engineering environment.

Key Responsibilities

• Develop and optimize data platform solutions

• Support data scientists, analysts, and fellow engineers

• Implement data governance and security best practices

• Monitor and improve data pipeline performance and reliability

Basic Qualifications

• Background in Computer Science, Mathematics/Statistics, or a related Engineering field

• Experience working with data integrations

• At least 5 years of relevant experience

• Experience in backend software development

• Experience with DevOps processes

• Fluent English

Bonus Skills

• Experience with cloud platforms

• Knowledge of the modern data stack

• Familiarity with big data technologies (Hadoop, Spark, etc.)

• Basic experience with Infrastructure as Code (Terraform, Pulumi)

• Bash scripting and automation

• Basic experience with Docker or Kubernetes

Why Datatonic?

Join a team of AI enthusiasts where innovation is embedded in everything we do. In our Zagreb hub, you’ll enjoy:

• Learning & Growth: Access to the MLE Accelerator Program, generous conference budgets, and continuous learning platforms.

• Flexibility: A hybrid working model (2–3 days in the office) to balance focus and collaboration.

• Wellbeing: Supplementary health insurance and 50% covered MultiSport membership.

• Holiday: 27 days of vacation.